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Kaoru Ota - IEEE Xplore Author Profile

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Author details

Kaoru Ota

Also published under: Kaoni Ota, Kaori Ota

Publications

266

Citations

9,474

Publications by Year

20072025

Co-Authors:

Laha AleAshwin AshokYuanguo BiWuyunzhaola BorjiginXinyu Bu

Show All Co-Authors (358)

Kaoru Ota

Also published under: Kaoni Ota, Kaori Ota

Affiliation

Muroran Institution of Technology, Muroran, Japan

Publication Topics

Internet Of Things,
Mobile Edge Computing,
Edge Computing,
Computational Resources,
Unmanned Aerial Vehicles,
Base Station,
Deep Reinforcement Learning,
Energy Consumption,
Resource Allocation,
Time Slot,
Edge Server,
Neural Network

Biography

Kaoru Ota (Member, IEEE) was born in Aizuwakamatsu, Japan. She received the B.S. degree in computer science and engineering from the University of Aizu, Aizuwakamatsu, in 2006, the M.S. degree in computer science from Oklahoma State University, Stillwater, OK, USA, in 2008, and the Ph.D. degree in computer science and engineering from the University of Aizu in 2012.,She is currently an Associate Professor and the Ministry of Education, Culture, Sports, Science and Technology Excellent Young Researcher with the Department of Sciences and Informatics, Muroran Institute of Technology, Muroran, Japan. From March 2010 to March 2011, she was a Visiting Scholar with the University of Waterloo, Waterloo, ON, Canada. Also, she was a Japan Society of...

Publications

266

Citations

9,474

Publications by Year

20072025

Co-Authors:

Laha Ale
Ashwin Ashok
Yuanguo Bi
Wuyunzhaola Borjigin
Xinyu Bu

Show All Co-Authors (358)

Author's Published Works

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Showing 1-25 of 266 results

Journals (153)

Conferences (75)

Magazines (32)

Early Access Articles (6)

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Kaoru Ota(264)
Mianxiong Dong(250)
Jun Wu(37)
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He Li(23)
Department of Information and Electronic Engineering, Muroran Institute of Technology, Muroran, Japan(99)
Department of Sciences and Informatics, Muroran Institute of Technology, Muroran, Japan(34)
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China(25)
Muroran Institute of Technology, Muroran, Japan(16)
Department of Information and Electric Engineering, Muroran Institute of Technology, Muroran, Japan(15)
IEEE Internet of Things Journal(29)
IEEE Transactions on Vehicular Technology(16)
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IEEE Transactions on Computational Social Systems(9)
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Internet Of Things(65)
Energy Consumption(50)
Edge Computing(45)
Base Station(40)
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Cross-Chain Privacy-Preserving for BIoMT With Designated Verifier Proxy Signature

Chaoyang Li;Bohao Jiang;Mianxiong Dong;Yuling Chen;Min Huang;Xiangjun Xin;Kaoru Ota

IEEE Internet of Things Journal

Year: 2025 | Early Access Article |

Blockchain-enabled Internet of Medical Things (BIoMT) has received extensive attention and in-depth research to solve the centralized, data island problems with the rapid developments of blockchain-related technologies. However, many different chains with different data structures, consensus protocols, and cryptographic algorithms are constructed, which brings a new "data island" problem. Meanwhil...Show More

Cross-Chain Privacy-Preserving for BIoMT With Designated Verifier Proxy Signature

Chaoyang Li;Bohao Jiang;Mianxiong Dong;Yuling Chen;Min Huang;Xiangjun Xin;Kaoru Ota

IEEE Internet of Things Journal

Year: 2025 | Early Access Article |

A Contend Node-Restricted Receiver-Initiated MAC Protocol With Consecutive Packet Transmission

Yuxin Liu;Kaoru Ota;Mianxiong Dong;Ruoyu Wang

IEEE Transactions on Green Communications and Networking

Year: 2025 | Early Access Article |

The medium access control (MAC) protocol plays a crucial role in wireless communications, influencing key performance metrics, such as energy consumption, delay, collision, and throughput. This paper introduces the Contend Node Restricted Joint Consecutive Packet Transmissions Receiver-Initiated (CNR-CPT-RI) protocol, specifically designed to minimize collisions and reduce energy consumption in wa...Show More

A Contend Node-Restricted Receiver-Initiated MAC Protocol With Consecutive Packet Transmission

Yuxin Liu;Kaoru Ota;Mianxiong Dong;Ruoyu Wang

IEEE Transactions on Green Communications and Networking

Year: 2025 | Early Access Article |

Ideas in the Air: Unmanned Aerial Semantic Communication for Post-Disaster Scenarios

Jianwen Xu;Kaoru Ota;Mianxiong Dong

IEEE Wireless Communications Letters

Year: 2025 | Early Access Article |

In disaster management, utilizing UAVs for emergency communication has become increasingly feasible due to their mobility and independence from terrain, enabling the rapid deployment of flexible and scalable wireless network architectures. A primary challenge, however, lies in efficiently utilizing the limited energy of UAVs, necessitating optimized scheduling to maximize network access during the...Show More

Ideas in the Air: Unmanned Aerial Semantic Communication for Post-Disaster Scenarios

Jianwen Xu;Kaoru Ota;Mianxiong Dong

IEEE Wireless Communications Letters

Year: 2025 | Early Access Article |

Embedding Guarantor: Knowledge-Enhanced Graph Learning for New Item Cold-Start Recommendation

Zhipeng Zhang;Youfu Zhu;Mianxiong Dong;Kaoru Ota;Yao Zhang;Yonggong Ren

IEEE Transactions on Emerging Topics in Computational Intelligence

Year: 2025 | Early Access Article |

Graph neural networks (GNNs) are widely utilized in recommender systems because they can produce effective embeddings by incorporating high-order collaborative information from neighbors. However, traditional GNN-based recommendation approaches face limitations in the new item cold-start scenario. This is because new items typically have limited or no neighbors, resulting in incomplete or complete...Show More

Embedding Guarantor: Knowledge-Enhanced Graph Learning for New Item Cold-Start Recommendation

Zhipeng Zhang;Youfu Zhu;Mianxiong Dong;Kaoru Ota;Yao Zhang;Yonggong Ren

IEEE Transactions on Emerging Topics in Computational Intelligence

Year: 2025 | Early Access Article |

Detection of Collusive Interest Flooding Attacks on Named Data Networks Based on Word Extraction for Time Series Classification

Ying Huang;Rui Hou;Guanglin Xing;Mianxiong Dong;Kaoru Ota;Deze Zeng

Year: 2025 | Volume: 39, Issue: 2 | Magazine Article |

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Interest flooding attacks (IFAs) has been regarded as some of the most harmful security risks in named data networks (NDNs), and they have always been highly important in the next-generation network security field. In recent years, a variant and upgraded version of the original IFA named a collusive IFA (CIFA) has been witnessed. Since a CIFA is launched intermittently and is assisted by malicious...Show More

Detection of Collusive Interest Flooding Attacks on Named Data Networks Based on Word Extraction for Time Series Classification

Ying Huang;Rui Hou;Guanglin Xing;Mianxiong Dong;Kaoru Ota;Deze Zeng

Year: 2025 | Volume: 39, Issue: 2 | Magazine Article |

TaxiGuider: Pick-Up Service Recommendation via Multiple Spatial-Temporal Trajectories

Zhipeng Zhang;Mianxiong Dong;Kaoru Ota;Yao Zhang;Yonggong Ren

IEEE Transactions on Services Computing

Year: 2025 | Volume: 18, Issue: 1 | Journal Article |

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Vehicle GPS devices provide abundant trajectory data that can be exploited to generate helpful pick-up service recommendations for taxi drivers. However, existing trajectory clustering approaches struggle to perform well on trajectory data with different distribution characteristics (e.g., dense in downtown and discrete in suburbs) simultaneously. Additionally, current prediction models mainly foc...Show More

TaxiGuider: Pick-Up Service Recommendation via Multiple Spatial-Temporal Trajectories

Zhipeng Zhang;Mianxiong Dong;Kaoru Ota;Yao Zhang;Yonggong Ren

IEEE Transactions on Services Computing

Year: 2025 | Volume: 18, Issue: 1 | Journal Article |

An All-Digital Spread Spectrum Method With Distortion Correction for Filterless Digital Class-D Amplifiers

Zeqi Yu;Haokai Liu;Lei Liu;Ning Zhang;Kaoru Ota;Mianxiong Dong

IEEE Transactions on Vehicular Technology

Year: 2025 | Volume: 74, Issue: 1 | Journal Article |

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Filterless digital class-D amplifiers (CDAs) are very attractive for audio-visual devices thanks to their high efficiency, small size and low cost. However, their high-frequency switching-mode operation will cause electromagnetic interference (EMI) problems. Spread spectrum techniques are often used to solve the EMI problems but will cause baseband distortions in amplifiers. In this article, an al...Show More

An All-Digital Spread Spectrum Method With Distortion Correction for Filterless Digital Class-D Amplifiers

Zeqi Yu;Haokai Liu;Lei Liu;Ning Zhang;Kaoru Ota;Mianxiong Dong

IEEE Transactions on Vehicular Technology

Year: 2025 | Volume: 74, Issue: 1 | Journal Article |

Optimal Latency and Energy-Aware Task Scheduling in In-Network Computing Paradigm: A Deep Reinforcement Learning Approach

Jing Gao;Fanqin Zhou;Mianxiong Dong;Lei Feng;Peng Yu;Kaoru Ota;Xuesong Qiu

IEEE Transactions on Sustainable Computing

Year: 2024 | Early Access Article |

To support the escalating traffic demands in the 6 G era, the novel computing paradigm of in-network computing (INC), where tasks can be processed on the forwarding path, is emerging with enhanced network performance and improved service quality. Considering the large network scale with high dynamics, effective task scheduling in INC paradigm becomes imperative but challenging. In this work, we in...Show More

Optimal Latency and Energy-Aware Task Scheduling in In-Network Computing Paradigm: A Deep Reinforcement Learning Approach

Jing Gao;Fanqin Zhou;Mianxiong Dong;Lei Feng;Peng Yu;Kaoru Ota;Xuesong Qiu

IEEE Transactions on Sustainable Computing

Year: 2024 | Early Access Article |

AI-Centric D2D in 6G Networks

Jianwen Xu;Kaoru Ota;Mianxiong Dong

IEEE Networking Letters

Year: 2024 | Volume: 6, Issue: 4 | Journal Article |

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As a fundamental component of 6G, Device-to-Device (D2D) communication facilitates direct connections between devices without base stations. In order to support advanced AI applications in ubiquitous scenarios, in this letter, we propose an AI-centric D2D communication infrastructure upon mobile devices, addressing current challenges in bandwidth and transmission speed. This approach aims to lever...Show More

AI-Centric D2D in 6G Networks

Jianwen Xu;Kaoru Ota;Mianxiong Dong

IEEE Networking Letters

Year: 2024 | Volume: 6, Issue: 4 | Journal Article |

Expanding Crack Segmentation Dataset with Crack Growth Simulation and Feature Space Diversity

Qin Lei;Rui Yang;Jiang Zhong;Rongzhen Li;Muyang He;Mianxiong Dong;Kaoru Ota

2024 IEEE International Conference on Multimedia and Expo (ICME)

Year: 2024 | Conference Paper |

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In this paper, we address the significant challenge of data scarcity in the field of crack segmentation, a key aspect of structural health monitoring. To tackle this, we introduce the CrackGrowDiff framework, an innovative approach for expanding crack datasets. Utilizing a two-stage controllable generation process that combines a random walk algorithm and semantic diffusion models, our framework m...Show More

Expanding Crack Segmentation Dataset with Crack Growth Simulation and Feature Space Diversity

Qin Lei;Rui Yang;Jiang Zhong;Rongzhen Li;Muyang He;Mianxiong Dong;Kaoru Ota

2024 IEEE International Conference on Multimedia and Expo (ICME)

Year: 2024 | Conference Paper |

Evaluation of Applying Federated Learning to Distributed Intrusion Detection Systems Through Explainable AI

Ayaka Oki;Yukio Ogawa;Kaoru Ota;Mianxiong Dong

IEEE Networking Letters

Year: 2024 | Volume: 6, Issue: 3 | Journal Article |

Cited by: Papers (1)

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We apply federated learning (FL) to a distributed intrusion detection system (IDS), in which we deploy numerous detection servers on the edge of a network. FL can mitigate the impact of decreased training data in each server and exhibit almost the same detection rate as that of the non-distributed IDS for all attack classes. We verify the effect of FL using explainable artificial intelligence (XAI...Show More

Evaluation of Applying Federated Learning to Distributed Intrusion Detection Systems Through Explainable AI

Ayaka Oki;Yukio Ogawa;Kaoru Ota;Mianxiong Dong

IEEE Networking Letters

Year: 2024 | Volume: 6, Issue: 3 | Journal Article |

A Robust APS Trend Estimation Technique for Ground-Based InSAR Measurements of Urban Landslide

Fathin Nurzaman;Yuta Izumi;Motoyuki Sato;Koki Urano;Shima Kawamura;Josaphat Tetuko Sri Sumantyo;Kaoru Ota;Mianxiong Dong;Dudy D. Wijaya

IEEE Geoscience and Remote Sensing Letters

Year: 2024 | Volume: 21 | Journal Article |

Cited by: Papers (1)

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This letter proposes a new atmospheric phase screen (APS) compensation method for ground-based synthetic aperture radar interferometry (InSAR). Conventionally, the APS trend is retrieved employing the assumption that the displacement component is a high spatial frequency component, thus making it separable from the APS trend and easy to be identified as outliers during the trend estimation whether...Show More

A Robust APS Trend Estimation Technique for Ground-Based InSAR Measurements of Urban Landslide

Fathin Nurzaman;Yuta Izumi;Motoyuki Sato;Koki Urano;Shima Kawamura;Josaphat Tetuko Sri Sumantyo;Kaoru Ota;Mianxiong Dong;Dudy D. Wijaya

IEEE Geoscience and Remote Sensing Letters

Year: 2024 | Volume: 21 | Journal Article |

Profit-Maximizing Service Function Chain Embedding in NFV-Based 5G Core Networks

Zhenke Chen;He Li;Kaoru Ota;Mianxiong Dong

IEEE Transactions on Network Science and Engineering

Year: 2024 | Volume: 11, Issue: 6 | Journal Article |

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Network Function Virtualization (NFV) is a promising technology to make 5G networks more flexible and cost-efficient. With NFV, a 5G network service is implemented as several Virtual Network Functions (VNFs) that run on general machines, called a Service Function Chain (SFC). A recent survey has revealed that when multiple VNFs are colocated in the same machine, contention for shared physical reso...Show More

Profit-Maximizing Service Function Chain Embedding in NFV-Based 5G Core Networks

Zhenke Chen;He Li;Kaoru Ota;Mianxiong Dong

IEEE Transactions on Network Science and Engineering

Year: 2024 | Volume: 11, Issue: 6 | Journal Article |

User Experience of Different Groups in Social VR Applications: An Empirical Study Based on User Reviews

Jiong Dong;Kaoru Ota;Mianxiong Dong

IEEE Transactions on Computational Social Systems

Year: 2024 | Volume: 11, Issue: 6 | Journal Article |

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Social virtual reality (VR) applications provide a diverse and evolving ecosystem for different groups to socialize in VR. Understanding how people explore social VR applications is crucial for VR developers, such as designing social VR content. Previous work has focused on interviewing participants to study the user experience (UX) of social VR. However, the potential value of user reviews of soc...Show More

User Experience of Different Groups in Social VR Applications: An Empirical Study Based on User Reviews

Jiong Dong;Kaoru Ota;Mianxiong Dong

IEEE Transactions on Computational Social Systems

Year: 2024 | Volume: 11, Issue: 6 | Journal Article |

RIS-Enabled Integrated Sensing, Computing, and Communication for Internet of Robotic Things

Jiale Shu;Kaoru Ota;Mianxiong Dong

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 20 | Journal Article |

Cited by: Papers (1)

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The Internet of Robotic Things (IoRT) thrives in extreme environments where human operation is often unfeasible, positioning it a pivotal innovation for future enhancements in quality of life. Nonetheless, IoRT faces substantial challenges, particularly in timely environmental sensing and decision making. This article introduces a novel reconfigurable intelligent surface (RIS)-enabled integrated s...Show More

RIS-Enabled Integrated Sensing, Computing, and Communication for Internet of Robotic Things

Jiale Shu;Kaoru Ota;Mianxiong Dong

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 20 | Journal Article |

OHMA: An Edge-Based Lightweight Occluded Target Re-Identification Framework for Exploring Abundant Feature Expression

Xiaoyu Zhang;Yichao Wang;Xiting Peng;Mianxiong Dong;Kaoru Ota;Lexi Xu

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 4 | Journal Article |

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The rise of the Internet of Things (IoT) and the Internet of Vehicles (IoV) has accelerated the realization of smart cities, where cameras as interconnected consumer electronics (CE) are deployed across cities to capture target images. The widespread deployment of monitoring equipment has prompted us to focus on the target re-identification (Re-ID) issue. One major challenge about this issue is th...Show More

OHMA: An Edge-Based Lightweight Occluded Target Re-Identification Framework for Exploring Abundant Feature Expression

Xiaoyu Zhang;Yichao Wang;Xiting Peng;Mianxiong Dong;Kaoru Ota;Lexi Xu

IEEE Transactions on Consumer Electronics

Year: 2024 | Volume: 70, Issue: 4 | Journal Article |

Joint Computation Offloading and Multidimensional Resource Allocation in Air–Ground Integrated Vehicular Edge Computing Network

Shichao Li;Laha Ale;Hongbin Chen;Fangqing Tan;Tony Q. S. Quek;Ning Zhang;Mianxiong Dong;Kaoru Ota

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 20 | Journal Article |

Cited by: Papers (4)

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The integration of vehicle edge computing (VEC) and air-ground integrated network is considered as a key technology to achieve autonomous driving. It exploits the ubiquitous service coverage and enables tasks to be offloaded to various components, such as high-altitude platform (HAP), unmanned aerial vehicle (UAV), and roadside unit (RSU). In this article, we address the challenge of minimizing th...Show More

Joint Computation Offloading and Multidimensional Resource Allocation in Air–Ground Integrated Vehicular Edge Computing Network

Shichao Li;Laha Ale;Hongbin Chen;Fangqing Tan;Tony Q. S. Quek;Ning Zhang;Mianxiong Dong;Kaoru Ota

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 20 | Journal Article |

Generative Inference of Large Language Models in Edge Computing: An Energy Efficient Approach

Xingyu Yuan;He Li;Kaoru Ota;Mianxiong Dong

2024 International Wireless Communications and Mobile Computing (IWCMC)

Year: 2024 | Conference Paper |

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Large Language Models (LLMs) have demonstrated remarkable proficiency in generating text and producing fluent, succinct, and precise linguistic expressions. Limited battery life and computing power make it challenging to process LLM inference tasks in mobile devices. Intelligent edge computing brings the opportunity to help users process LLM inference tasks in real-time by offloading computations ...Show More

Generative Inference of Large Language Models in Edge Computing: An Energy Efficient Approach

Xingyu Yuan;He Li;Kaoru Ota;Mianxiong Dong

2024 International Wireless Communications and Mobile Computing (IWCMC)

Year: 2024 | Conference Paper |

Optimizing Resource Allocation and Request Routing for AI-Generated Content (AIGC) Services in Mobile Edge Networks With Cell Coupling

Tao Deng;Dongyu Chen;Juncheng Jia;Mianxiong Dong;Kaoru Ota;Zhanwei Yu;Di Yuan

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 11 | Journal Article |

Cited by: Papers (1)

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In this paper, we investigate the deployment and service of pre-trained foundation models (PFMs) in mobile edge networks with cell coupling. We formulate a joint resource allocation and request routing optimization problem (RARP) to achieve a trade-off between the accuracy loss and cost of artificial intelligence-generated content (AIGC). For problem solving, we propose an alternating optimization...Show More

Optimizing Resource Allocation and Request Routing for AI-Generated Content (AIGC) Services in Mobile Edge Networks With Cell Coupling

Tao Deng;Dongyu Chen;Juncheng Jia;Mianxiong Dong;Kaoru Ota;Zhanwei Yu;Di Yuan

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 11 | Journal Article |

Resource Allocation in Blockchain Integration of UAV-Enabled MEC Networks: A Stackelberg Differential Game Approach

Die Wang;Yunjian Jia;Liang Liang;Kaoru Ota;Mianxiong Dong

IEEE Transactions on Services Computing

Year: 2024 | Volume: 17, Issue: 6 | Journal Article |

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Recently, unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) has emerged as a practical paradigm to enable low latency computing offloading for dispersed users in the fifth generation (5G) wireless networks. However, severe security and privacy concerns are associated with the open environment between the UAVs and edge computing nodes. In this paper, we address these challenges by i...Show More

Resource Allocation in Blockchain Integration of UAV-Enabled MEC Networks: A Stackelberg Differential Game Approach

Die Wang;Yunjian Jia;Liang Liang;Kaoru Ota;Mianxiong Dong

IEEE Transactions on Services Computing

Year: 2024 | Volume: 17, Issue: 6 | Journal Article |

Efficient Online Resource Management in MEC: A Chance-Constrained Approach for Handling Uncertain Demands

Kailin Wang;Xun Shao;Heli Zhang;Kaoru Ota;Xi Li;Mianxiong Dong

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 11 | Journal Article |

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With the proliferation of resource-hungry applications, a common paradigm to quickly respond to the ever-increasing demands of tasks is mobile edge computing (MEC), which deploys resources on the premise of grasping task information (including time and quantity of task release, etc). Actually, task generation is dynamic in many practical scenarios, and it is unrealistic for MEC servers to acquire ...Show More

Efficient Online Resource Management in MEC: A Chance-Constrained Approach for Handling Uncertain Demands

Kailin Wang;Xun Shao;Heli Zhang;Kaoru Ota;Xi Li;Mianxiong Dong

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 11 | Journal Article |

Multi-RIS Deployment Location Optimization for Coverage Enhancement in Outdoor Wireless Communication Networks

Yuyin Ma;Kaoru Ota;Mianxiong Dong

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 10 | Journal Article |

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As one innovative paradigm, reconfigurable intelligent surface (RIS) has been applied to enhance coverage in wireless communication networks by providing a virtual connection between the transmitter and the receiver in scenarios where line-of-sight (LoS) is obstructed. In this work, the issue of optimizing multi-RIS deployment locations is considered to enhance coverage while reducing network cost...Show More

Multi-RIS Deployment Location Optimization for Coverage Enhancement in Outdoor Wireless Communication Networks

Yuyin Ma;Kaoru Ota;Mianxiong Dong

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 10 | Journal Article |

Double Broad Q-Network for Overtaking Control of Autonomous Driving

Xiting Peng;Xinyu Bu;Xiaoyu Zhang;Mianxiong Dong;Kaoru Ota

IEEE Transactions on Vehicular Technology

Year: 2024 | Early Access Article |

Cited by: Papers (2)

Overtaking and lane-changing are essential maneuvers in autonomous driving. A correct and timely operation can reduce the probability of collisions, enable vehicles to avoid potential hazards on the road, and enhance overall safety. In addition, they also play a vital role in ensuring the efficient flow of traffic and timely arrival at destinations. Currently, the dominant research on this problem...Show More

Double Broad Q-Network for Overtaking Control of Autonomous Driving

Xiting Peng;Xinyu Bu;Xiaoyu Zhang;Mianxiong Dong;Kaoru Ota

IEEE Transactions on Vehicular Technology

Year: 2024 | Early Access Article |

Two-Hop Packet Scheduling, Resource Allocation, and UAV Trajectory Design for Internet of Remote Things in Air–Ground Integrated Network

Shichao Li;Zhiqiang Yu;Mianxiong Dong;Kaoru Ota;Hongbin Chen;Ning Zhang;Chao Yang

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 15 | Journal Article |

Cited by: Papers (2)

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Compared with terrestrial network, the air–ground integrated network consisting of unmanned aerial vehicles (UAVs) and high-altitude platforms (HAPs) offers the advantages of large coverage, high capacity, and seamless connection. Therefore, the air–ground integrated network can provide effective communication services for the Internet of Remote Things (IoRT). In order to reduce the end-to-end (e2...Show More

Two-Hop Packet Scheduling, Resource Allocation, and UAV Trajectory Design for Internet of Remote Things in Air–Ground Integrated Network

Shichao Li;Zhiqiang Yu;Mianxiong Dong;Kaoru Ota;Hongbin Chen;Ning Zhang;Chao Yang

IEEE Internet of Things Journal

Year: 2024 | Volume: 11, Issue: 15 | Journal Article |

Privacy-Preserving for Blockchain-Enabled Cold-Chain Logistics System With IoV and Linkable Ring Signature

Yang Zhang;Yu Tang;Chaoyang Li;Mianxiong Dong;Min Huang;Hua Zhang;Kaoru Ota

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 9 | Journal Article |

Cited by: Papers (1)

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As the demand for frozen and fresh products grows, the security and traceability of cold-chain logistics data have received a lot of attention in recent years. Cold-chain logistics (CCL) systems play an important role in data collecting and sharing, but the traditional centralized CCL systems are vulnerable to threats of data loss, tempering, and privacy disclosure. Aiming at these problems, this ...Show More

Privacy-Preserving for Blockchain-Enabled Cold-Chain Logistics System With IoV and Linkable Ring Signature

Yang Zhang;Yu Tang;Chaoyang Li;Mianxiong Dong;Min Huang;Hua Zhang;Kaoru Ota

IEEE Transactions on Vehicular Technology

Year: 2024 | Volume: 73, Issue: 9 | Journal Article |

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